Jishnu Mukhoti

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 19

Top Topics

Weakly Supervised

Top Venues

Appl. Artif. Intell.

ICCV (Workshops)

Publications

Jishnu Mukhoti, Yarin Gal, Philip Torr, Puneet K. Dokania
Fine-tuning can cripple your foundation model; preserving features may be the solution. Trans. Mach. Learn. Res. 2024 (2024)
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CVPR (2023)
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal
Deep Deterministic Uncertainty: A New Simple Baseline. CVPR (2023)
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
Raising the Bar on the Evaluation of Out-of-Distribution Detection. ICCV (Workshops) (2023)
Jishnu Mukhoti, Yarin Gal, Philip H. S. Torr, Puneet K. Dokania
Fine-tuning can cripple your foundation model; preserving features may be the solution. CoRR (2023)
Jishnu Mukhoti, Tsung-Yu Lin, Omid Poursaeed, Rui Wang, Ashish Shah, Philip H. S. Torr, Ser-Nam Lim
Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning. CoRR (2022)
Jishnu Mukhoti, Tsung-Yu Lin, Bor-Chun Chen, Ashish Shah, Philip H. S. Torr, Puneet K. Dokania, Ser-Nam Lim
Raising the Bar on the Evaluation of Out-of-Distribution Detection. CoRR (2022)
Jishnu Mukhoti, Andreas Kirsch, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal
Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty. CoRR (2021)
Jishnu Mukhoti, Joost van Amersfoort, Philip H. S. Torr, Yarin Gal
Deep Deterministic Uncertainty for Semantic Segmentation. CoRR (2021)
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H. S. Torr, Puneet K. Dokania
Calibrating Deep Neural Networks using Focal Loss. CoRR (2020)
Jishnu Mukhoti, Sukanya Dutta, Ram Sarkar
Handwritten Digit Classification in Bangla and Hindi Using Deep Learning. Appl. Artif. Intell. 34 (14) (2020)
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H. S. Torr, Puneet K. Dokania
Calibrating Deep Neural Networks using Focal Loss. NeurIPS (2020)
Jishnu Mukhoti, Puneet K. Dokania, Philip H. S. Torr, Yarin Gal
On Batch Normalisation for Approximate Bayesian Inference. CoRR (2020)
Tommaso Cavallari, Luca Bertinetto, Jishnu Mukhoti, Philip H. S. Torr, Stuart Golodetz
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation. CoRR (2019)
Diptendu Bhattacharya, Jishnu Mukhoti, Amit Konar
Learning regularity in an economic time-series for structure prediction. Appl. Soft Comput. 76 (2019)
Tommaso Cavallari, Luca Bertinetto, Jishnu Mukhoti, Philip H. S. Torr, Stuart Golodetz
Let's Take This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation. 3DV (2019)
Jishnu Mukhoti, Yarin Gal
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation. CoRR (2018)
Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal
On the Importance of Strong Baselines in Bayesian Deep Learning. CoRR (2018)
Jishnu Mukhoti, Pratyusha Rakshit, Diptendu Bhattacharya, Amit Konar, Atulya K. Nagar
Knowledge extraction from a time-series using segmentation, fuzzy matching and predictor graphs. FUZZ-IEEE (2016)